Identification method of printed documents based on texture analysis of toner accumulation

A technology for printing documents and texture analysis, applied in computer parts, character and pattern recognition, instruments, etc.

Inactive Publication Date: 2011-12-21
HUAZHONG NORMAL UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] The same characters printed by different printers have almost no difference with the naked eye and are difficult to distinguish, but under the o

Method used

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  • Identification method of printed documents based on texture analysis of toner accumulation
  • Identification method of printed documents based on texture analysis of toner accumulation
  • Identification method of printed documents based on texture analysis of toner accumulation

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Experimental program
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Effect test

Embodiment approach 1

[0038] 40 printers were used to test the discrimination effect based on toner accumulation texture analysis. For each printer, two pictures of printed characters on different files were collected, the character pictures on one file were used as training samples (Chinese characters in bold type four), and the character pictures on the other file (Chinese characters in bold type three) were used as training samples. To test the identification effect. Collect 25 print character images on each print file, and about 15 normalized texture images can be constructed.

[0039] After extracting the texture features from the normalized texture image, the PCA+LDA method is used for feature selection to obtain the feature vector after dimension reduction, and the weighted Euclidean distance classifier is used for identification. Comparing the feature vector of the toner texture of the unknown print file with the print file of the known sample that has been trained, if and only if its feat...

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Abstract

The invention provides a printed file identifying method based on powdered ink stack texture analysis. At first, printed character stroke images on printed files are respectively collected through a high-precision microscopic amplifying system; small powdered ink stack blocks are extracted from the printed stroke images so that a normalized powdered ink texture picture is formed; the texture features of the printed files are extracted in a way that the texture features of the normalized texture image are extracted through a local binary pattern, a gray level concurrence matrix, a Fourier spectrum, a Gabor technology and a Wavelet technology; and the text features of the extracted printed files are classified into different patterns through a principle component analysis and a linear discriminant analysis, thus a user can judge whether the two printed files are printed and generated through the same printer or not. Through the printed file distinguishing method, the automatic printed file identification which is based on computer image analysis and has independent texts is realized and the accuracy can reach above 89 percent.

Description

technical field [0001] The invention relates to a method for identifying the authenticity of printed documents. In particular, the invention relates to a printing document identification method based on toner accumulation texture analysis and belongs to the fields of public safety and physical evidence inspection. Background technique [0002] Experts from the public security department generally compare and collect evidence by traditional methods such as testing the composition of printing materials, finding printing defects, and extracting paper indentations. With the development of computer science, computer-based printing document forensics technology has become a new research hotspot, including the analysis of printing quality characteristics such as the size of printed characters and the roughness of printing edges; the analysis of gray-level co-occurrence matrix features of printed character images; Watermark features of printed information, etc. [0003] Although t...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 邓伟徐家臻陈迪
Owner HUAZHONG NORMAL UNIV
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